Where to live in Innsbruck over 65
Ranking of Innsbruck's 28 areas with CityPulse's “Over 65” profile. What matters most: services on foot, public green space and tree canopy. Preferred density: medium.
What is the best area of Innsbruck to live in over 65?
According to CityPulse: Mühlau (92), Amras (90) and Allerheiligen (90).
Innsbruck areas ranked
| # | Area | Score | Strength |
|---|---|---|---|
| 1 | Mühlau | 92 · excellent | Tree canopy |
| 2 | Amras | 90 · excellent | Public green space |
| 3 | Allerheiligen | 90 · excellent | Tree canopy |
| 4 | Hötting West | 88 · excellent | Services on foot |
| 5 | Hötting | 88 · excellent | Tree canopy |
| 6 | Sankt Nikolaus | 85 · excellent | Tree canopy |
| 7 | Kranebitten | 84 · excellent | Tree canopy |
| 8 | Saggen | 81 · excellent | Services on foot |
| 9 | Sadrach | 81 · excellent | Tree canopy |
| 10 | Gewerbegebiet Mühlau/Arzl | 79 · good | Services on foot |
| 11 | Arzl | 78 · good | Services on foot |
| 12 | Mariahilfpark | 76 · good | Services on foot |
| 13 | Igls | 75 · good | Tree canopy |
| 14 | Mentlberg | 74 · good | Services on foot |
| 15 | Schlachthof | 74 · good | Services on foot |
| 16 | Lemmenhof | 73 · good | Services on foot |
| 17 | Höttinger Au | 72 · good | Services on foot |
| 18 | Pradl | 72 · good | Services on foot |
| 19 | Dreiheiligen | 72 · good | Services on foot |
| 20 | Olympisches Dorf | 72 · good | Services on foot |
| 21 | Tivoli | 70 · good | Services on foot |
| 22 | Reichenau | 70 · good | Services on foot |
| 23 | Wilten | 67 · good | Services on foot |
| 24 | Altstadt | 66 · good | Services on foot |
| 25 | Sieglanger | 65 · good | Services on foot |
| 26 | Hungerburg | 64 · good | Tree canopy |
| 27 | Innenstadt | 62 · good | Services on foot |
| 28 | Vill | 49 · fair | Tree canopy |
What it does not consider
The ranking does not account for rents and house prices, noise, safety, or distance from university or work. Use it to decide where to look, then check the individual address.
Other profiles in Innsbruck
Areas are named after OpenStreetMap neighbourhoods and have approximate boundaries: each hexagon goes to the nearest name. Values are residents' medians. Data updated on 2026-11-06. Method and sources